Responsibilities
● Build and mentor the computer vision team at Checko
● Drive to productionize algorithms (industrial level) developed through hard-core research
● Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
● Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
● Entrepreneurial and out-of-box thinking essential for a technology startup
● Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Eligibility
● B. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
● M. Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
● in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
Requirements
● In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
● Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
● Ability to understand, optimize and debug imaging algorithms
● Understating and experience in openCV library
● Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
● Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine